Correlation Analysis Of Cruise Line Products And Pricing

In recent years,with the rapid development of our economy,people's living standard continuously improved,more and more tourists come to choose the cruise this leisure,this objectively to accelerate the development of the cruise industry in our country;And reasonable price,not only can attract more tourists to take a cruise,cruise lines and can get better profits,it is also the current major cruise lines and scholars to explore one of the important topics.Correlation analysis on the cruise line products and pricing,can not only explore the cruise line products for cruise company in China,and provide reference for reasonable price,but also help our country cruise lines to maximize revenue plan,the development of cruise tourism market in China as well as the economic growth has very important significance.In this paper,the cruise line as the research object,by royal Caribbean cruise lines co.,LTD.,8 routes(northern arctic routes,routes,Bermuda,Australia,New Zealand,southeast Asia,Japan and South Korea routes routes routes,the Caribbean,Europe and the Mediterranean Sea routes routes,Alaska airline)22 ships within 1 year,a total of 1815 valid voyage of 11 indexes data as sample,by means of SPSS,comprehensive use of two variable correlation analysis and linear regression analysis,correlation analysis of cruise line products and pricing,and build the theoretical model of correlation between pricing and cruise line products.Research process is as follows:(1)the first describing the cruise line profile product pricing,on the basis of combining with the characteristics of the cruise line products,analysis of different cruise line product price,collecting the data,the summary after each route data classification,processed by SPSS after different cruise line products,such as the mean,median,and the variation coefficient of measurement;(2)then use three different methods(Pearson correlation coefficient matrix,Kendall and spearman correlation coefficient matrix)to analyze the correlation between variables.(3)the last build multivariate linear regression model,and residual error inspection again,the revised model of return,the resulting suites pricing and voyage length,inner cabin pricing,seaview room pricing between the three variables of the linear regression model.The results showed that way within the port number,flight length,cabin pricing,seaview room pricing,balcony room pricing,price six suites there is significant correlation between two variables are;After regression analysis it is concluded that the suite pricing and voyage,inside cabin and seaview room linear equation between the variables.Cruise lines,therefore,need to take more attention when making price suite pricing and voyage length,inner cabin pricing,seaview room pricing two significant correlation between the two,to formulate a reasonable price;And price sensitive tourists when buying cruise,you can through the length of the cruise line range and the proportion coefficient between different room,to select the most valuable routes and room.On the above conclusions,this paper gives the following five Suggestions:(1)provide a series of cruise line product mix solution;(2)to provide a variety of shore attractions;(3)developing green cruise tourism routes;(4)short long line synchronous development;(5)for the cruise different pricing strategy.